Problem

Climate change is one of the biggest challenges we face, but individuals have trouble conceptualizing or relating to the data.

Solution

Personalize the data to markers the user can set themselves, increasing their ability to relate to the data

Case Study

Personalized time period increase in CO₂ from Mauna Loa Data

Since 1959 scientists have collected CO₂ data from Mauna Loa in Hawaii - possibly the classic data set in Climate Science.

To allow users to explore this data we built a Shiny App that allows users to plot a post-1958 date of importance (suggestion: a birthday!) and calculates the rise in global CO2 since that date.

Tying CO₂ rise to a personally meaningful time frame can help drive home how dramatically and rapidly global CO₂ is changing.

Explore the App yourself

Shiny App: https://mpearson.shinyapps.io/maunaloa/

Github repository

https://github.com/mepearson/MaunaLoa

Data Credit

Data from Dr. Pieter Tans, NOAA/ESRL (www.esrl.noaa.gov/gmd/ccgg/trends/) and Dr. Ralph Keeling, Scripps Institution of Oceanography (scrippsco2.ucsd.edu/). https://www.esrl.noaa.gov/gmd/ccgg/trends/data.html